Seeking Guidance for Invoice Extraction Project Using ML.NET with Blazor

Question

Hello ML.NET community,

I am embarking on a project to develop an invoice extraction application using Blazor, and I'm planning to integrate ML.NET for accurate invoice data extraction. As a newcomer to both Blazor and ML.NET, I am seeking guidance and advice from experienced members of the community.

Specifically, I would appreciate assistance with the following areas:

1. Integrating ML.NET into a Blazor application for invoice extraction tasks.
2. Best practices for handling PDF files within a Blazor application and preprocessing invoice images.
3. Strategies for training an ML.NET model within the Blazor framework and ensuring accuracy.
4. Recommendations for tools, libraries, or approaches to efficiently handle different invoice formats and variations.

If anyone has experience or insights related to using ML.NET with Blazor or similar technologies, I would be grateful for any tips, code snippets, tutorials, or recommended resources.

Thank you for your time and support. I look forward to learning from the community and making progress on this exciting project.

Best regards, [Your Name]

Answer 1

Have look at Azure AI Document Intelligence, may a better option.

Answer 2

Unless you are familiar which ocr and ai models, you will probable want a 3rd party solution. Due to model size and model proprietary, most will be online solutions similar to the suggested azure solution.

if you want open source solution, most will be python based. You could use these to create a webapi called by your blazor app.